Analysis and comparison of metabolic pathway databases

Enormous amounts of data result from genome sequencing projects and new experimental methods. Within this tremendous amount of genomic data 30-40 per cent of the genes being identified in an organism remain unknown in terms of their biological function. As a consequence of this lack of information the overall schema of all the biological functions occurring in a specific organism cannot be properly represented. To understand the functional properties of the genomic data more experimental data must be collected. A pathway database is an effort to handle the current knowledge of biochemical pathways and in addition can be used for interpretation of sequence data. Some of the existing pathway databases can be interpreted as detailed functional annotations of genomes because they are tightly integrated with genomic information. However, experimental data are often lacking in these databases. This paper summarises a list of pathway databases and some of their corresponding biological databases, and also focuses on information about the content and the structure of these databases, the organisation of the data and the reliability of stored information from a biological point of view. Moreover, information about the representation of the pathway data and tools to work with the data are given. Advantages and disadvantages of the analysed databases are pointed out, and an overview to biological scientists on how to use these pathway databases is given.     

Metabolic perturbation of acrylate pathway in Lactobacillus plantarum

Engineering microbes with heterologous pathway for production of bio-based products has received considerable attention. Reconstituting such non-native pathway in addition to desired product formation often brings an allosteric modulation in enzymes competing at fragile nodes that result in by-product redistribution, in order to retain energy and redox balance. This work, Lactobacillus plantarum engineered with acrylate pathway for propionate production was studied under similar perspectives. Upon expression, the heterologous pathway did not result in propionic acid production under standard glucose concentration of 20?g/L, but 0.01?mM of propionate was formed when grown under low glucose concentration of 1?g/L. Further analysis of secreted metabolites with increased glucose concentration of 10 and 30?g/L remained futile towards propionate formation but showed reorientation in pyruvate metabolism which was related to the control imposed by the host to regulate the hidden constraints caused by gene perturbation. Further, it was ensured that the limitation of supplements did not play any functional role in inhibiting propionic acid synthesis but still followed similar metabolic pattern which was quite unclear though interpreted to certain extent. Thus, the findings gave insights into physiological and metabolic capabilities of Lactobacillus plantarum that at least in principle can be used to enhance the strain performance for increased propionic acid production.     

代谢工程

代谢工程,也称途径工程,是基因工程一个重要分支,一般是多基因的基因工程,与细胞的基因调控、代谢调控和生化工程密切相关。讨论了代谢工程的应用,包括通过改变代谢流和代谢途径提高产量,改善生产过程,构建新的代谢途径和产生新的代谢产物等。     

植物多胺代谢途径研究进展

多胺是一类小分子生物活性物质,广泛存在于生物体内,与植物的生长发育、衰老及抗逆性都有着密切的联系。目前,在植物中的多胺合成途径已经基本揭示,其生理作用在分子水平上逐步得到阐明。对多胺合成突变体和各种转基因植物的研究也使得人们更深入地了解了多胺以及其合成代谢相关酶在植物生长发育等生理过程中的重要作用。以下概述了植物多胺代谢途径,重点综述了代谢途径中各基因的功能及遗传操作的最新进展,并对将来的研究方向尤其是相关基因在植物抗逆境 (包括生物和非生物逆境) 基因工程方面的应用作了讨论。     

Metabolic pathway optimization for biosynthesis of 1,2,4-butanetriol from xylose by engineered Escherichia coli

1,2,4-Butanetriol (BT) and related derivatives have been widely used in many fields, especially in the military and in medicine. In this paper, we systematically optimized the BT biosynthetic pathway. We first investigated the activities of various NADH dependent aldehyde reductases (ALRs), which catalyze the fourth reaction in the four-step pathway for BT production from xylose in E. coli, and found that a combination of multiple endogenous enzymes catalyzed aldehyde reduction in the BT production bioprocess and that YqhD in E. coli was a main ALR for BT production. In addition, ADH2 from Saccharomyces cerevisiae can effectively catalyze 3,4-dihydroxybutanal to BT. Also, YjhG was identified as the major xylonate dehydratase and was co-overexpressed with YqhD, resulting in an improvement of BT production by 30%. Moreover, we identified and eliminated the competing branch pathway by inactivating 2-keto acid reductases (yiaE). Finally, the combination of these approaches led to BT production of 5.1 g/L. In summary, our study provides insights into the biosynthetic pathway for BT production, demonstrates an effective strategy to enhance BT production, and paves the way toward in-depth research on BT biosynthesis.     

Metabolic pathway analysis of a recombinant yeast for rational strain development

Elementary mode analysis has been used to study a metabolic pathway model of a recombinant Saccharomyces cerevisiae system that was genetically engineered to produce the bacterial storage compound poly-beta-hydroxybutyrate (PHB). The model includes biochemical reactions from the intermediary metabolism and takes into account cellular compartmentalization as well as the reversibility/irreversibility of the reactions. The reaction network connects the production and/or consumption of eight external metabolites including glucose, acetate, glycerol, ethanol, PHB, CO(2), succinate, and adenosine triphosphate (ATP). Elementary mode analysis of the wild-type S. cerevisiae system reveals 241 unique reaction combinations that balance the eight external metabolites. When the recombinant PHB pathway is included, and when the reaction model is altered to simulate the experimental conditions when PHB accumulates, the analysis reveals 20 unique elementary modes. Of these 20 modes, 7 produce PHB with the optimal mode having a theoretical PHB carbon yield of 0.67. Elementary mode analysis was also used to analyze the possible effects of biochemical network modifications and altered culturing conditions. When the natively absent ATP citrate-lyase activity is added to the recombinant reaction network, the number of unique modes increases from 20 to 496, with 314 of these modes producing PHB. With this topological modification, the maximum theoretical PHB carbon yield increases from 0.67 to 0.83. Adding a transhydrogenase reaction to the model also improves the theoretical conversion of substrate into PHB. The recombinant system with the transhydrogenase reaction but without the ATP citrate-lyase reaction has an increase in PHB carbon yield from 0.67 to 0.71. When the model includes both the ATP citrate-lyase reaction and the transhydrogenase reaction, the maximum theoretical carbon yield increases to 0.84. The reaction model was also used to explore the possibility of producing PHB under anaerobic conditions. In the absence of oxygen, the recombinant reaction network possesses two elementary modes capable of producing PHB. Interestingly, both modes also produce ethanol. Elementary mode analysis provides a means of deconstructing complex metabolic networks into their basic functional units. This information can be used for analyzing existing pathways and for the rational design of further modifications that could improve the system's conversion of substrate into product.     

档案馆库房中微生物的研究

通过对安徽省不同地区档案馆库房中微生物的研究,结果表明：被污染的档案馆库房中的微生物主要优势菌为霉菌,细菌为其次,同时也有一定数量放线菌。不同管理层次档案馆库房中的微生物数量相差较大。     

In vivo interpretation of model predicted inhibition in acrylate pathway engineered Lactococcus lactis

To maximize the productivity of engineered metabolic pathway, in silico model is an established means to provide features of enzyme reaction dynamics. In our previous study, Escherichia coli engineered with acrylate pathway yielded low propionic acid titer. To understand the bottleneck behind this low productivity, a kinetic model was developed that incorporates the enzymatic reactions of the acrylate pathway. The resulting model was capable of simulating the fluxes reported under in vitro studies with good agreement, suggesting repression of propionyl-CoA transferase (Pct) by carboxylate metabolites as the main limiting factor for propionate production. Furthermore, the predicted flux control coefficients of the pathway enzymes under steady state conditions revealed that the control of flux is shared between Pct and lactoyl-CoA dehydratase. Increase in lactate concentration showed gradual decrease in flux control coefficients of Pct that in turn confirmed the control exerted by the carboxylate substrate. To interpret these in silico predictions under in vivo system, an organized study was conducted with a lactic acid bacteria strain engineered with acrylate pathway. Analysis reported a decreased product formation rate on attainment of inhibitory titer by suspected metabolites and supported the model.     

基元模式分析在生物网络和途径分析中的应用

基元模式分析是应用最广泛的代谢途径分析方法。基元模式分析的研究对象从代谢网络发展到信号传导网络;研究尺度从细胞到生物反应器,甚至生态系统;数学描述从稳态分解到动态解析;研究领域从微生物代谢到人类疾病。以下综述了基元模式分析的算法和软件开发现状,以及其在代谢途径与鲁棒性、代谢通量分解、稳态代谢通量分析、动态模型与生物过程模拟、网络结构与调控、菌株设计和信号传导网络等方面的应用。开发新的算法解决组合爆炸问题,探索基元模式与代谢调控的关系以及提高菌株设计算法效率是今后基元模式的重要发展方向。     

代谢转基因植物的研究现状与展望

代谢转基因是通过基因工程技术对细胞内的代谢途径进行遗传修饰,进而完成细胞特性改造。代谢修饰转基因植物是一个极具商业前景的领域,在医药、环境、农业等方面已有许多成功应用的实例。综合调控代谢的基因工程策略,讨论了代谢转基因植物的研究现状,我国农业生产中存在的主要问题和代谢转基因技术对我国农业发展的意义和前景。     

MetaCyc and AraCyc. Metabolic pathway databases for plant research

MetaCyc (http://metacyc.org) contains experimentally determined biochemical pathways to be used as a reference database for metabolism. In conjunction with the Pathway Tools software, MetaCyc can be used to computationally predict the metabolic pathway complement of an annotated genome. To increase the breadth of pathways and enzymes, more than 60 plant-specific pathways have been added or updated in MetaCyc recently. In contrast to MetaCyc, which contains metabolic data for a wide range of organisms, AraCyc is a species-specific database containing only enzymes and pathways found in the model plant Arabidopsis (Arabidopsis thaliana). AraCyc (http://arabidopsis.org/tools/aracyc/) was the first computationally predicted plant metabolism database derived from MetaCyc. Since its initial computational build, AraCyc has been under continued curation to enhance data quality and to increase breadth of pathway coverage. Twenty-eight pathways have been manually curated from the literature recently. Pathway predictions in AraCyc have also been recently updated with the latest functional annotations of Arabidopsis genes that use controlled vocabulary and literature evidence. AraCyc currently features 1,418 unique genes mapped onto 204 pathways with 1,156 literature citations. The Omics Viewer, a user data visualization and analysis tool, allows a list of genes, enzymes, or metabolites with experimental values to be painted on a diagram of the full pathway map of AraCyc. Other recent enhancements to both MetaCyc and AraCyc include implementation of an evidence ontology, which has been used to provide information on data quality, expansion of the secondary metabolism node of the pathway ontology to accommodate curation of secondary metabolic pathways, and enhancement of the cellular component ontology for storing and displaying enzyme and pathway locations within subcellular compartments.     

The retinol-retinoic acid metabolic pathway is impaired in the lumbar spine of a rat model of congenital kyphoscoliosis

Although congenital scoliosis is defined as a genetic disease characterized by a congenital and abnormal curvature of the spinal vertebrae, our knowledge of the genetic underpinnings of the disease is insufficient. We herein show that the downregulation of the retinol-retinoic acid metabolism pathway is involved in the pathogenesis of congenital scoliosis. By analyzing DNA microarray data, we found that the expression levels of genes associated with the retinol metabolism pathway were decreased in the lumbar spine of Ishibashi rats (IS), a rat model of congenital kyphoscoliosis. The expression of Adh1 and Aldh1a2 (alcohol dehydrogenase), two enzymes that convert retinol to retinoic acid in this pathway, were decreased at both the gene and protein levels. Rarα, a receptor of retinoic acid and bone morphogenetic protein 2, which play a central role in bone formation and are located downstream of this pathway, were also downregulated. Interestingly, the serum retinol levels of IS rats were higher than those of wild-type control rats. These results indicate that the adequate conversion from retinol to retinoic acid is extremely important in the regulation of normal bone formation and it may also be a key factor for understanding the pathogenesis of congenital scoliosis.     

Advances in the Plant Isoprenoid Biosynthesis Pathway and Its Metabolic Engineering

Although the cytosolic isoprenoid biosynthetic pathway, mavolonate pathway, in plants has been known for many years, a new plastidial 1-deoxyxylulose-5-phosphate (DXP) pathway was identified in the past few years and its related intermediates, enzymes, and genes have been characterized quite recently. With a deep insight into the biosynthetic pathway of isoprenoids, investigations into the metabolic engineering of isoprenoid biosynthesis have started to prosper. In the present article, recent advances in the discoveries and regulatory roles of new genes and enzymes in the plastidial isoprenoid biosynthesis pathway are reviewed and examples of the metabolic engineering of cytosolic and plastidial isoprenoids biosynthesis are discussed.     

Advances in the Plant Isoprenoid Biosynthesis Pathway and Its Metabolic Engineering

Although the cytosolic isoprenoid biosynthetic pathway, mavolonate pathway, in plants has been known for many years, a new plastidial 1-deoxyxylulose-5-phosphate (DXP) pathway was identified in the past few years and its related intermediates, enzymes, and genes have been characterized quite recently.With a deep insight into the biosynthetic pathway of isoprenoids, investigations into the metabolic engineering of isoprenoid biosynthesis have started to prosper. In the present article, recent advances in the discoveries and regulatory roles of new genes and enzymes in the plastidial isoprenoid biosynthesis path way are reviewed and examples of the metabolic engineering of cytosolic and plastidial isoprenoids biosnthesis are discussed.     

Integrating cybernetic modeling with pathway analysis provides a dynamic, systems-level description of metabolic control

Cybernetic modeling strives to uncover the inbuilt regulatory programs of biological systems and leverage them toward computational prediction of metabolic dynamics. Because of its focus on incorporating the global aims of metabolism, cybernetic modeling provides a systems-oriented approach for describing regulatory inputs and inferring the impact of regulation within biochemical networks. Combining cybernetic control laws with concepts from metabolic pathway analysis has culminated in a systematic strategy for constructing cybernetic models, which was previously lacking. The newly devised framework relies upon the simultaneous application of local controls that maximize the net flux through each elementary flux mode and global controls that modulate the activities of these modes to optimize the overall nutritional state of the cell. The modeling concepts are illustrated using a simple linear pathway and a larger network representing anaerobic E. coli central metabolism. The E. coli model successfully describes the metabolic shift that occurs upon deleting the pta-ackA operon that is responsible for fermentative acetate production. The model also furnishes predictions that are consistent with experimental results obtained from additional knockout strains as well as strains expressing heterologous genes. Because of the stabilizing influence of the included control variables, the resulting cybernetic models are more robust and reliable than their predecessors in simulating the network response to imposed genetic and environmental perturbations.     

植物花青素合成代谢途径及其分子调控

植物花青素是一种天然食用色素,具有安全、无毒的特点,具有预防心脑血管疾病、保护肝脏与抗癌等多种重要的营养和药理功能。因此,花青素在食品、医药保健、园艺和作物改良等方面均具有重要研究价值和应用潜力。该文综述了植物花青素合成代谢途径及其分子调控研究进展,概述了植物花青素的生物合成、代谢以及积累过程,重点介绍了影响植物花青素代谢的结构基因和调控基因及其作用机制,同时展望了花青素合成代谢相关基因的研究应用前景和发展趋势。     

Kinetic-model-based pathway optimization with application to reverse glycolysis in mammalian cells

Over the last two decades, model-based metabolic pathway optimization tools have been developed for the design of microorganisms to produce desired metabolites. However, few have considered more complex cellular systems such as mammalian cells, which requires the use of nonlinear kinetic models to capture the effects of concentration changes and cross-regulatory interactions. In this study, we develop a new two-stage pathway optimization framework based on kinetic models that incorporate detailed kinetics and regulation information. In Stage 1, a set of optimization problems are solved to identify and rank the enzymes that contribute the most to achieving the metabolic objective. Stage 2 then determines the optimal enzyme interventions for specified desired numbers of enzyme adjustments. It also incorporates multi-scenario optimization, which allows the simultaneous consideration of multiple physiological conditions. We apply the proposed framework to find enzyme adjustments that enable a reverse glucose flow in cultured mammalian cells, thereby eliminating the need for glucose feed in the late culture stage and enhancing process robustness. The computational results demonstrate the efficacy of the proposed approach; it not only captures the important regulations and key enzymes for reverse glycolysis but also identifies differences and commonalities in the metabolic requirements for different carbon sources.     

基于图论和约束优化的异源代谢途径设计方法及应用

构建高产高附加值产品的微生物细胞工厂是代谢工程的研究目标之一,设计高效的产品合成途径是实现这一目标的重要方式.不同微生物底盘因其代谢能力有所差异,故而可以利用的底物和生产的产品范围有限.为了扩大其生产能力,需要进行代谢途径从无到有的设计.传统代谢工程基于经验进行异源途径设计的方式低效且无法确保结果的全面性,而系统生物学...     

Genome-scale model for Clostridium acetobutylicum: Part I. Metabolic network resolution and analysis

A genome-scale metabolic network reconstruction for Clostridium acetobutylicum (ATCC 824) was carried out using a new semi-automated reverse engineering algorithm. The network consists of 422 intracellular metabolites involved in 552 reactions and includes 80 membrane transport reactions. The metabolic network illustrates the reliance of clostridia on the urea cycle, intracellular L-glutamate solute pools, and the acetylornithine transaminase for amino acid biosynthesis from the 2-oxoglutarate precursor. The semi-automated reverse engineering algorithm identified discrepancies in reaction network databases that are major obstacles for fully automated network-building algorithms. The proposed semi-automated approach allowed for the conservation of unique clostridial metabolic pathways, such as an incomplete TCA cycle. A thermodynamic analysis was used to determine the physiological conditions under which proposed pathways (e.g., reverse partial TCA cycle and reverse arginine biosynthesis pathway) are feasible. The reconstructed metabolic network was used to create a genome-scale model that correctly characterized the butyrate kinase knock-out and the asolventogenic M5 pSOL1 megaplasmid degenerate strains. Systematic gene knock-out simulations were performed to identify a set of genes encoding clostridial enzymes essential for growth in silico.     

大肠杆菌木糖生物合成琥珀酸的代谢工程研究

目的:对大肠杆菌进行代谢网络改造,考察木糖好氧发酵生产琥珀酸的可行性。方法:以有氧条件下大肠杆菌木糖生物合成琥珀酸的代谢途径分析为基础,以大肠杆菌BL21为出发菌株,通过P1噬菌体一步敲除法敲除琥珀酸脱氢酶基因(sdhA)、磷酸转乙酰基酶基因(pta)、丙酮酸脱氢酶基因(poxB)及异柠檬酸裂解酶阻遏物基因(iclR),构建木糖好氧发酵生产琥珀酸的大肠杆菌工程菌JLS400(△poxB△pta△iclR△sdhA)。将携带磷酸烯醇式丙酮酸羧化酶基因的质粒pJW225转化到JLS400中。结果:摇瓶发酵结果表明,构建的工程菌能以木糖为碳源,在好氧发酵条件下琥珀酸产率较高,副产物仅有少量乙酸和丙酮酸。结论:基因工程大肠杆菌JLS400pJW225的构建,为有氧条件下以木糖为原料生产琥珀酸的进一步研究奠定了基础。